The Research Of E-learning Behavior And The Design & Realization Of Its Analysis System For College Students

With the development of the popularity of computers and multimedia network technology, the vast learning resources on the Internet and its characteristics different from the traditional learning attracted more and more college students to study through computer networks. As college students has different e-learning skills and different learning styles, to enhance the quality and efficiency of the students' e-learning, studying the college students' e-learning behavior has become the trend of the times.This study use the combined method of documents analysis and empirical analysis to study the university's e-learning, use the Web data mining techniques to statistic and analyze the data information of college students' e-learning behavior, and make the corresponding evaluation and feedback.First, discussing the subject's research background, status quo and significance, this paper expatiates the basic theoretic of the e-learning behavior—behavioral science theory; By analyzing outside and inside country related literature summarize and analyze the concept, features, system and type of college students' e-learning behavior, and putting out questionnaire survey to research the impact factors of college students' e-learning behavior; Then, build a e-learning network behavior analysis system model and detailed design of the registry at the role of the various sub-system module; After introducing the system environment and the key technology used, the paper focuses on achieving the collection, analysis, evaluation and feedback of the students' network browsing behavior.